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Add new scenario for Concurrent Agent Orchestration in eShopLite and … #162
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…update Azure OpenAI image generation details
👋 Thanks for contributing @elbruno! We will review the pull request and get back to you soon. |
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Pull Request Overview
This PR enhances the documentation for eShopLite by introducing a new scenario that demonstrates concurrent agent orchestration using Semantic Kernel.
- Added details on the new scenario in the README.md.
- Updated the What's New section with a dedicated entry for the scenario.
Reviewed Changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
File | Description |
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README.md | Added a new bullet describing the Concurrent Agent Orchestration scenario. |
10-WhatsNew/readme.md | Introduced a new section entry detailing the Concurrent Agent Orchestration scenario. |
@@ -12,6 +12,12 @@ This page tracks the history of new features, tools, and models added to the cou | |||
- See the [official Azure OpenAI DALL·E documentation](https://learn.microsoft.com/azure/ai-services/openai/how-to/dall-e?tabs=gpt-image-1) and [openai-dotnet image generation guide](https://github.com/openai/openai-dotnet?tab=readme-ov-file#how-to-generate-images) for more details. | |||
- Find the sample in [Lesson 3: Core Generative AI Techniques](../03-CoreGenerativeAITechniques/). | |||
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### New eShopLite Scenario: Concurrent Agent Orchestration (June 2025) |
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Review the header and subsequent bullet points to ensure consistency in terminology and detail across the documentation; aligning the wording with the README.md entry could help maintain a uniform narrative.
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This pull request introduces updates to the documentation for new features and scenarios in the
eShopLite
repository, with a focus on concurrent agent orchestration. The changes highlight the addition of a new scenario and provide links to relevant resources for better accessibility.Updates to documentation:
eShopLite
repository, which demonstrates concurrent agent orchestration using Semantic Kernel. This showcases how multiple agents can work in parallel to analyze user queries and provide insights for future analysis. [1] [2]